Increase productivity by removing time-consuming tasks such as manually entering data from paper documents into a spreadsheet, ERP, or Database, allowing employees to spend more time on the work that matters.Validating data that has been entered along the way is also possible, ensuring that nothing goes wrong. You can also extract information from documents that don’t follow a standard template, such as invoices, purchase orders, tax forms, insurance forms, medical forms, id cards, etc. Use AI to understand documents in a few short steps and digitize them in minutes. In seconds, you can capture and organize the relevant data from your PDFs/papers/images. Using AI to extract data from documents/images, Nanonets leaves your employees more time to focus on higher-value tasks instead of having them spend hours entering data by hand.
To use WinRT/UWP API in WinForms, add Nuget package "" (version 4.100 for Win10 1803 SDK tested here) as described here.Nanonets allow you to use AI to make the long process of manual data entry obsolete. Var ocrResult = await ocrEngine.RecognizeAsync(outputBitmap) Var outputBitmap = SoftwareBitmap.CreateCopyFromBuffer( convert the image to BGRA8 format which is needed by SoftwareBitmapīitmap img = new ba = new byte OcrEngine = OcrEngine.Tr圜reateFromUserProfileLanguages() Using Īsync private void button5_Click(object sender, EventArgs e) Return Ī new API is OcrEngine.RecognizeAsync from WinRT/UWP. If ((!result.IsErroredOnProcessing) & !String.IsNullOrEmpty()) OcrSpaceResult result = JsonConvert.DeserializeObject(responseString) String responseString = WebUtilities.DoGetRequest(uri)
Using (var img = Pix.LoadFromFile(testImagePath)) Using (var engine = new "eng", EngineMode.Default)) Var resultPrinter = new ResultPrinter(logger) Var logger = new FormattedConsoleLogger() Create the following two files in your project (just to get started):.NET Wrapper repository, in the Samples directory copy the sample phototest.tif file into your project directory and set it to copy on build. Go to Properties of the newly added files and set them to copy on build.Create tessdata directory in your project and place the language data files in it.Download the preferred language data, example: tesseract-ocr-3.02. English language data for Tesseract 3.02.Go to the Downloads section of the official Tesseract project ( EDIT: It's now located here: ).It can be added via NuGet package Install-Package Tesseract( ). NET Wrapper for tesseract to your project. The following are the steps to get a working example:
If anyone is looking into this, I've been trying different options and the following approach yields very good results.
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